AI 中文总结
Sensus Pond系统以水为主动感知媒介，采用扫频电容传感与人工神经网络，通过无翻译观察框架记录池塘与周边生命的短暂互动，将设计者从解释者转为多物种相遇的促进者。
AI 中文摘要
我们推出Sensus Pond，这是一个交互式系统，它不再将水仅仅视为静态自然元素，而是将其重构为用于记录超人类痕迹的主动感知媒介。针对交互设计中人类中心主义方法的局限性，我们提出了“无翻译观察”的方法论框架，抵制将非人类存在固定、解码或人性化的倾向。借鉴超人类设计与生态纠缠的批判理论，Sensus Pond是一个物质嵌入且针对特定场地的系统，采用扫频电容传感（Swept Frequency Capacitive Sensing）和人工神经网络，检测池塘表面与周围生命形式之间的短暂相互作用。该系统不对这些事件进行分类或解释，而是将重叠痕迹的时间累积可视化，生成空间与时间纠缠的分层档案。这种方法强调调谐而非控制，将设计者的角色从解释者转变为开放式多物种相遇的促进者。Sensus Pond不仅促使人们反思被感知的内容，还促使人们反思设计本身如何能对模糊性、偶然性以及共享生态生活的美学保持响应。
英文摘要
We introduce Sensus Pond, an interactive system that reconfigures water not merely as a static natural element but as an active sensing medium for registering more-than-human traces. In response to the limitations of anthropocentric approaches in interaction design, we propose a methodological framework of observation without translation, resisting the tendency to stabilize, decode, or humanize nonhuman presence. Drawing from critical theories of more-than-human design and ecological entanglement, Sensus Pond is a materially embedded and site-specific system that employs Swept Frequency Capacitive Sensing and an Artificial Neural Network to detect ephemeral interactions between the pond's surface and surrounding life forms. Rather than classifying or interpreting these events, the system visualizes temporal accumulations of overlapping traces, producing a layered archive of spatial and temporal entanglements. This approach emphasizes attunement over control, shifting the designer's role from interpreter to facilitator of open-ended, multispecies encounters. Sensus Pond invites reflection not only on what is sensed, but on how design itself can remain responsive to ambiguity, contingency, and the aesthetics of shared ecological life.
CommentsPublished in Proceedings of IASDR2025: Design Next, Design Research Society
Journal refProceedings of IASDR2025: Design Next Design Research Society, 2026
